🧠 SQL Interview Question (Commonly Asked)
📌

products(product_id, product_name, category_id, price)

❓ Ques :

👉 Find the second highest priced product in each category.

🧩 How Interviewers Expect You to Think

• Partition data by category
• Rank products based on price (descending)
• Understand difference between RANK, DENSE_RANK, and ROW_NUMBER
• Handle ties properly
• Filter after ranking logic

💡 SQL Solution

WITH ranked_products AS (
SELECT
product_id,
product_name,
category_id,
price,
DENSE_RANK() OVER (
PARTITION BY category_id
ORDER BY price DESC
) AS price_rank
FROM products
)

SELECT
product_id,
product_name,
category_id,
price
FROM ranked_products
WHERE price_rank = 2;

🔥 Why this question is powerful:

• Tests window functions deeply
• Checks ranking logic understanding
• Very common in Data Analyst interviews

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Java coding interview questions

1. Reverse a String:
Write a Java program to reverse a given string.
2. Find the Largest Element in an Array:
Find and print the largest element in an array.
3. Check for Palindrome:
Determine if a given string is a palindrome (reads the same backward as forward).
4. Factorial Calculation:
Write a function to calculate the factorial of a number.
5. Fibonacci Series:
Generate the first n numbers in the Fibonacci sequence.
6. Check for Prime Number:
Write a program to check if a given number is prime.
7. String Anagrams:
Determine if two strings are anagrams of each other.

8. Array Sorting:
Implement sorting algorithms like bubble sort, merge sort, or quicksort.

9. Binary Search:
Implement a binary search algorithm to find an element in a sorted array.

10. Duplicate Elements in an Array:
Find and print duplicate elements in an array.

11. Linked List Reversal:
Reverse a singly-linked list.

12. Matrix Operations:
Perform matrix operations like addition, multiplication, or transpose.

13. Implement a Stack:
Create a stack data structure and implement basic operations (push, pop).

14. Implement a Queue:
Create a queue data structure and implement basic operations (enqueue, dequeue).

15. Inheritance and Polymorphism:
Implement a class hierarchy with inheritance and demonstrate polymorphism.

16. Exception Handling:
Write code that demonstrates the use of try-catch blocks to handle exceptions.
17. File I/O:
Read from and write to a file using Java's file I/O capabilities.
18. Multithreading:
Create a simple multithreaded program and demonstrate thread synchronization.
19. Lambda Expressions:
Use lambda expressions to implement functional interfaces.
20. Recursive Algorithms:
Solve a problem using recursion, such as computing the factorial or Fibonacci sequence.

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---

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✅ Coding Interview Acronyms You MUST Know 💻🔥

DSA → Data Structures & Algorithms
CPU → Central Processing Unit
RAM → Random Access Memory
DBMS → Database Management System
RDBMS → Relational Database Management System
ACID → Atomicity, Consistency, Isolation, Durability
OLTP → Online Transaction Processing
OLAP → Online Analytical Processing
TCP → Transmission Control Protocol
IP → Internet Protocol
DNS → Domain Name System
MVC → Model View Controller
MVVM → Model View ViewModel
SDLC → Software Development Life Cycle
CI/CD → Continuous Integration / Continuous Deployment
JWT → JSON Web Token
ORM → Object Relational Mapping
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✅ SQL Aggregations with Interview Q&A 📊🧮

Aggregation functions help summarize large datasets. Combine them with GROUP BY to analyze grouped data.

1️⃣ COUNT()
Returns the number of records.

SELECT COUNT(*) FROM employees;

2️⃣ SUM()
Adds up values in a column.

SELECT dept_id, SUM(salary)  
FROM employees  
GROUP BY dept_id;

3️⃣ AVG()
Returns the average of values.

SELECT AVG(salary) FROM employees;

4️⃣ MAX() / MIN()
Returns the highest/lowest value.

SELECT MAX(salary), MIN(salary) FROM employees;

5️⃣ GROUP BY
Groups rows that have the same values in specified columns.

SELECT dept_id, COUNT(*)  
FROM employees  
GROUP BY dept_id;

6️⃣ HAVING
Filters groups after aggregation (unlike WHERE which filters rows).

SELECT dept_id, AVG(salary)  
FROM employees  
GROUP BY dept_id  
HAVING AVG(salary) > 50000;

————————

Real-World Interview Questions + Answers

Q1: What’s the difference between WHERE and HAVING?
A: WHERE filters rows before grouping. HAVING filters after aggregation.

Q2: Can you use aggregate functions without GROUP BY?
A: Yes. Without GROUP BY, the function applies to the entire table.

Q3: How do you find departments with more than 5 employees?

SELECT dept_id, COUNT(*)  
FROM employees  
GROUP BY dept_id  
HAVING COUNT(*) > 5;

Q4: Can you group by multiple columns?
A: Yes.

GROUP BY dept_id, job_title

Q5: How do you calculate total and average salary per department?

SELECT dept_id, SUM(salary), AVG(salary)  
FROM employees  
GROUP BY dept_id;

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